Factors associated with patient-to-healthcare personnel (HCP) and HCP-to-subsequent patient transmission of methicillin-resistant Staphylococcus aureus.

BACKGROUND: Transient acquisition of methicillin-resistant Staphylococcus aureus (MRSA) on healthcare personnel (HCP) gloves and gowns following patient care has been examined. However, the potential for transmission to the subsequent patient has not been studied. We explored the frequency of MRSA transmission from patient to HCP, and then in separate encounters from contaminated HCP gloves and gowns to a subsequent simulated patient as well as the factors associated with these 2 transmission pathways. METHODS: We conducted a prospective cohort study with 2 parts. In objective 1, we studied MRSA transmission from random MRSA-positive patients to HCP gloves and gowns after specific routine patient care activities. In objective 2, we simulated subsequent transmission from random HCP gloves and gowns without hand hygiene to the next patient using a manikin proxy. RESULTS: For the first objective, among 98 MRSA-positive patients with 333 randomly selected individual patient-HCP interactions, HCP gloves or gowns were contaminated in 54 interactions (16.2%). In a multivariable analysis, performing endotracheal tube care had the greatest odds of glove or gown contamination (OR, 4.06; 95% CI, 1.3-12.6 relative to physical examination). For the second objective, after 147 simulated HCP-patient interactions, the subsequent transmission of MRSA to the manikin proxy occurred 15 times (10.2%). CONCLUSION: After caring for a patient with MRSA, contamination of HCP gloves and gown and transmission to subsequent patients following HCP-patient interactions occurs frequently if contact precautions are not used. Proper infection control practices, including the use of gloves and gown, can prevent this potential subsequent transmission.

Alcohol-based decontamination of gloved hands: A randomized controlled trial.

OBJECTIVE: The gold standard for hand hygiene (HH) while wearing gloves requires removing gloves, performing HH, and donning new gloves between WHO moments. The novel strategy of applying alcohol-based hand rub (ABHR) directly to gloved hands might be effective and efficient. DESIGN: A mixed-method, multicenter, 3-arm, randomized trial. SETTING: Adult and pediatric medical-surgical, intermediate, and intensive care units at 4 hospitals. PARTICIPANTS: Healthcare personnel (HCP). INTERVENTIONS: HCP were randomized to 3 groups: ABHR applied directly to gloved hands, the current standard, or usual care. METHODS: Gloved hands were sampled via direct imprint. Gold-standard and usual-care arms were compared with the ABHR intervention. RESULTS: Bacteria were identified on gloved hands after 432 (67.4%) of 641 observations in the gold-standard arm versus 548 (82.8%) of 662 observations in the intervention arm (P < .01). HH required a mean of 14 seconds in the intervention and a mean of 28.7 seconds in the gold-standard arm (P < .01). Bacteria were identified on gloved hands after 133 (98.5%) of 135 observations in the usual-care arm versus 173 (76.6%) of 226 observations in the intervention arm (P < .01). Of 331 gloves tested 6 (1.8%) were found to have microperforations; all were identified in the intervention arm [6 (2.9%) of 205]. CONCLUSIONS: Compared with usual care, contamination of gloved hands was significantly reduced by applying ABHR directly to gloved hands but statistically higher than the gold standard. Given time savings and microbiological benefit over usual care and lack of feasibility of adhering to the gold standard, the Centers for Disease Control and Prevention and the World Health Organization should consider advising HCP to decontaminate gloved hands with ABHR when HH moments arise during single-patient encounters.Trial Registration: NCT03445676.

Direct Gloving vs Hand Hygiene Before Donning Gloves in Adherence to Hospital Infection Control Practices: A Cluster Randomized Clinical Trial.

Importance: Current guidelines require hand hygiene before donning nonsterile gloves, but evidence to support this requirement is lacking. Objective: To evaluate the effectiveness of a direct-gloving policy on adherence to infection prevention practices in a hospital setting. Design, Setting, and Participants: This mixed-method, multicenter, cluster randomized clinical trial was conducted at 4 academic centers in Baltimore, Maryland, or Iowa City, Iowa, from January 1, 2016, to November 30, 2017. Data analysis was completed April 25, 2019. Participants were 3790 health care personnel (HCP) across 13 hospital units. Intervention: Hospital units were randomly assigned to direct gloving, with hand hygiene not required before donning gloves (intervention), or to usual care (hand hygiene before donning nonsterile gloves). Main Outcomes and Measures: The primary outcome was adherence to the expected practice at room entry and exit. A random sample of HCPs' gloved hands were imprinted on agar plates at entry to contact precautions rooms. The intention-to-treat approach was followed, and all analyses were conducted at the level of the participating unit. Primary and secondary outcomes between treatment groups were assessed using generalized estimating equations with an unstructured working correlation matrix to adjust for clustering; multivariate analysis using generalized estimating equations was conducted to adjust for covariates, including baseline adherence. Results: In total, 13 hospital units participated in the trial, and 3790 HCP were observed. Adherence to expected practice was greater in the 6 units with the direct-gloving intervention than in the 7 usual care units (1297 of 1491 [87%] vs 954 of 2299 [41%]; P < .001) even when controlling for baseline hand hygiene rates, unit type, and universal gloving policies (risk ratio [RR], 1.76; 95% CI, 1.58-1.97). Glove use on entry to contact precautions rooms was also higher in the direct-gloving units (1297 of 1491 [87%] vs 1530 of 2299 [67%]; P = .008. The intervention had no effect on hand hygiene adherence measured at entry to non-contact precautions rooms (951 of 1315 [72%] for usual care vs 1111 of 1688 [66%] for direct gloving; RR, 1.00 [95% CI, 0.91-1.10]) or at room exit (1587 of 1897 [84%] for usual care vs 1525 of 1785 [85%] for direct gloving; RR, 0.98 [95% CI, 0.91-1.07]). The intervention was associated with increased total bacteria colony counts (adjusted incidence RR, 7.13; 95% CI, 3.95-12.85) and greater detection of pathogenic bacteria (adjusted incidence RR, 10.18; 95% CI, 2.13-44.94) on gloves in the emergency department and reduced colony counts in pediatrics units (adjusted incidence RR, 0.34; 95% CI, 0.19-0.63), with no change in either total colony count (RR, 0.87 [95% CI, 0.60 to 1.25] for adult intensive care unit; RR, 0.59 [95% CI, 0.31-1.10] for hemodialysis unit) or presence of pathogenic bacteria (RR, 0.93 [95% CI, 0.40-2.14] for adult intensive care unit; RR, 0.55 [95% CI, 0.15-2.04] for hemodialysis unit) in the other units. Conclusions and Relevance: Current guidelines require hand hygiene before donning nonsterile gloves, but evidence to support this requirement is lacking. The findings from this cluster randomized clinical trial indicate that a direct-gloving strategy without prior hand hygiene should be considered by health care facilities. Trial Registration: ClinicalTrials.gov Identifier: NCT03119389.

Clinical Outcomes and Risk Factors for Carbapenem-resistant Enterobacterales Bloodstream Infection in Solid Organ Transplant Recipients.

BACKGROUND: The clinical outcomes associated with, and risk factors for, carbapenem-resistant Enterobacterales (CRE) bloodstream infections (BSIs) in solid organ transplant (SOT) recipients remain ill-defined. METHODS: A multicenter retrospective cohort study was performed, including SOT recipients with an Enterobacterales BSI between 2005 and 2018. Exposed subjects were those with a CRE BSI. Unexposed subjects were those with a non-CRE BSI. A multivariable survival analysis was performed to determine the association between CRE BSI and risk of all-cause mortality within 60 d. Multivariable logistic regression analysis was performed to determine independent risk factors for CRE BSI. RESULTS: Of 897 cases of Enterobacterales BSI in SOT recipients, 70 (8%) were due to CRE. On multivariable analysis, CRE BSI was associated with a significantly increased hazard of all-cause mortality (adjusted hazard ratio, 2.85; 95% confidence interval [CI], 1.68-4.84; P < 0.001). Independent risk factors for CRE BSI included prior CRE colonization or infection (adjusted odds ratio [aOR] 9.86; 95% CI, 4.88-19.93; P < 0.001)' liver transplantation (aOR, 2.64; 95% CI, 1.23-5.65; P = 0.012)' lung transplantation (aOR, 3.76; 95% CI, 1.40-10.09; P = 0.009)' and exposure to a third-generation cephalosporin (aOR, 2.21; 95% CI, 1.17-4.17; P = 0.015) or carbapenem (aOR, 2.80; 95% CI, 1.54-5.10; P = 0.001) in the prior 6 months. CONCLUSIONS: CRE BSI is associated with significantly worse outcomes than more antibiotic-susceptible Enterobacterales BSI in SOT recipients.

Molecular concordance of methicillin-resistant Staphylococcus aureus isolates from healthcare workers and patients.

BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is a significant nosocomial pathogen in the ICU. MRSA contamination of healthcare personnel (HCP) gloves and gowns after providing care to patients with MRSA occurs at a rate of 14%-16% in the ICU setting. Little is known about whether the MRSA isolates identified on HCP gown and gloves following patient care activities are the same as MRSA isolates identified as colonizing or infecting the patient. METHODS: From a multisite cohort of 388 independent patient MRSA isolates and their corresponding HCP gown and glove isolates, we selected 91 isolates pairs using a probability to proportion size (PPS) sampling method. To determine whether the patient and HCP gown or gloves isolates were genetically similar, we used 5 comparative genomic typing methods: phylogenetic analysis, spa typing, multilocus sequence typing (MLST), large-scale BLAST score ratio (LSBSR), and single-nucleotide variant (SNV) analysis. RESULTS: We identified that 56 (61.5%) of isolate pairs were genetically similar at least by 4 of the methods. Comparably, the spa typing and the LSBSR analyses revealed that >75% of the examined isolate pairs were concordant, with the thresholds established for each analysis. CONCLUSIONS: Many of the patient MRSA isolates were genetically similar to those on the HCP gown or gloves following a patient care activity. This finding indicates that the patient is often the primary source of the MRSA isolates transmitted to the HCP, which can potentially be spread to other patients or hospital settings through HCP vectors. These results have important implications because they provide additional evidence for hospitals considering ending the use of contact precautions (gloves and gowns) for MRSA patients.

A Multicenter Evaluation of Probiotic Use for the Primary Prevention of Clostridioides difficile Infection.

BACKGROUND: Primary prevention of Clostridioides difficile infection (CDI) is a priority for hospitals. Probiotics have the potential to interfere with colonization and CDI. In this study, we evaluated the impact of a computerized clinical decision support (CCDS) tool to prescribe probiotics for primary prevention of CDI among adult hospitalized patients. METHODS: A CCDS tool was implemented into the electronic medical record at 4 hospitals to prompt prescription of a probiotic preparation at the time of antibiotic prescription in high-risk patients in May 2019. Interrupted time series using segmented regression analysis was conducted to evaluate hospital-wide CDI incidence for the year pre- and post-CCDS implementation. In addition, multivariable logistic regression was used to evaluate CDI incidence in patients who qualified for probiotics in the pre- vs post-intervention periods, adjusting for potential confounders. To adjust for potential differences in patients who received probiotics in the post-intervention period, propensity score-matched pairs were developed to evaluate CDI risk by receipt of probiotics. RESULTS: Quarterly CDI incidence increased over time post-intervention relative to baseline trends (slope change, 1.4; 95% confidence interval [CI], .9-1.9). The odds ratio (OR) of CDI was 1.41 in eligible patients post-intervention compared with pre-intervention (adjusted OR, 1.41; 95% CI, 1.11-1.79). Propensity score-matched analysis showed that patients who received probiotics did not have lower rates of CDI compared with those who did not receive probiotics (OR, 1.46; 95% CI, .87-2.45). CONCLUSIONS: Use of probiotics for primary prevention of CDI among adult inpatients receiving antibiotics is not supported.

Clinical prediction tool for extended-spectrum beta-lactamase-producing enterobacterales as the etiology of a bloodstream infection in solid organ transplant recipients.

BACKGROUND: Multidrug-resistant Gram-negative bacterial infections are increasingly common among solid organ transplant (SOT) recipients, leading to challenges in the selection of empiric antimicrobial therapy. We sought to develop a clinical tool to predict which SOT recipients are at high risk for extended-spectrum beta-lactamase (ESBL)-producing Enterobacterales (EB) bloodstream infection (BSI). METHODS: A multicenter case-control study was performed. The source population included SOT recipients with an EB BSI between 2005 and 2018. Cases were those with ESBL-EB BSI; controls were those with non-ESBL EB BSI. The population was subdivided into derivation and validation cohorts based on study site. The predictive tool was developed in the derivation cohort through iterative multivariable logistic regression analyses that maximized the area under the receiver-operating curve (AUC). External validity was assessed using the validation cohort. RESULTS: A total of 897 SOT recipients with an EB BSI were included, of which 539 were assigned to the derivation cohort (135, 25% ESBL-EB) and 358 to the validation cohort (221, 62% ESBL-EB). Using multivariable analyses, the most parsimonious model that was predictive of ESBL-EB BSI consisted of 10 variables, which fell into four clinical categories: prior colonization or infection with EB organisms, recent antimicrobial exposures, severity of preceding illness, and immunosuppressive regimen. This model achieved an AUC of 0.81 in the derivation cohort and 0.68 in the validation cohort. CONCLUSIONS: Though further refinements are needed in additional populations, this tool shows promise for guiding empiric therapy for SOT recipients with EB BSI.

Beginning a new medical school curriculum amidst a global pandemic.

The University of Maryland School of Medicine embarked on our first major curriculum revision since 1994 with a plan to implement this Renaissance Curriculum in August 2020. However, in the Spring of 2020, the coronavirus disease (COVID-19) pandemic disrupted clinical care and medical education on a large scale requiring expeditious modifications to our Renaissance Curriculum as well as our traditional Legacy Curriculum in order to meet our goal of educating the next-generation of physicians. The rippling effects of the COVID-19 pandemic led to major changes in the delivery of the pre-clerkship curriculum, the way we assessed and evaluated students, entry into the clinical environment, length of clinical rotations, and orientation for our new medical students. We relied on "new" technology, digital medical resources, and the creativity of our educators to ensure that our learners continue to acquire the skills necessary to become skilled clinicians in these unprecedented times.

Risk Factors for Extended-Spectrum ß-lactamase-Producing Enterobacterales Bloodstream Infection Among Solid-Organ Transplant Recipients.

BACKGROUND: Approximately 40% of all Enterobacterales (EB) bloodstream infections (BSIs) among solid organ transplant recipients (SOTRs) are due to extended-spectrum ß-lactamase (ESBL)-producing organisms, but risk factors for such infections remain ill defined in this population. We sought to determine the risk factors for ESBL-EB BSIs among SOTRs. METHODS: A multicenter case-control study was performed. All SOTRs with an EB BSI at the Hospital of the University of Pennsylvania and University of Maryland Medical Center between 1 January 2007 and 30 June 2018 and at The Johns Hopkins Hospital between 1 January 2005 and 31 December 2015 were included. Cases were those with an ESBL-EB BSI. Controls were those with a non-ESBL-EB BSI. Multivariable logistic regression was performed to determine risk factors for ESBL-EB BSI. RESULTS: There were 988 episodes of EB BSI, of which 395 (40%) were due to an ESBL-EB. On multivariable analysis, the independent risk factors for ESBL-EB BSI included: ESBL-EB on prior culture (aOR, 12.75; 95% CI, 3.23-50.33; P < .001), a corticosteroid-containing immunosuppression regimen (aOR 1.30; 95% CI 1.03-1.65; P = .030), acute rejection treated with corticosteroids (aOR 1.18; 95% CI 1.16-1.19; P < .001), and exposure to third-generation cephalosporins (aOR 1.95; 95% CI 1.48-2.57; P < .001), echinocandins (aOR 1.61; 95% CI 1.08-2.40; P = .020), and trimethoprim-sulfamethoxazole (aOR 1.35; 95% CI 1.10-1.64; P = .003). CONCLUSIONS: We identified several novel risk factors that are uniquely important to the SOTR population, including exposure to trimethoprim-sulfamethoxazole and corticosteroid-containing immunosuppressive regimens. Further studies exploring these associations and testing interventions aimed at these modifiable risk factors among SOTRs are needed.

Comorbidity and severity-of-illness risk adjustment for hospital-onset Clostridioides difficile infection using data from the electronic medical record.

OBJECTIVE: To determine whether electronically available comorbidities and laboratory values on admission are risk factors for hospital-onset Clostridioides difficile infection (HO-CDI) across multiple institutions and whether they could be used to improve risk adjustment. PATIENTS: All patients at least 18 years of age admitted to 3 hospitals in Maryland between January 1, 2016, and January 1, 2018. METHODS: Comorbid conditions were assigned using the Elixhauser comorbidity index. Multivariable log-binomial regression was conducted for each hospital using significant covariates (P < .10) in a bivariate analysis. Standardized infection ratios (SIRs) were computed using current Centers for Disease Control and Prevention (CDC) risk adjustment methodology and with the addition of Elixhauser score and individual comorbidities. RESULTS: At hospital 1, 314 of 48,057 patient admissions (0.65%) had a HO-CDI; 41 of 8,791 patient admissions (0.47%) at community hospital 2 had a HO-CDI; and 75 of 29,211 patient admissions (0.26%) at community hospital 3 had a HO-CDI. In multivariable regression, Elixhauser score was a significant risk factor for HO-CDI at all hospitals when controlling for age, antibiotic use, and antacid use. Abnormal leukocyte level at hospital admission was a significant risk factor at hospital 1 and hospital 2. When Elixhauser score was included in the risk adjustment model, it was statistically significant (P < .01). Compared with the current CDC SIR methodology, the SIR of hospital 1 decreased by 2%, whereas the SIRs of hospitals 2 and 3 increased by 2% and 6%, respectively, but the rankings did not change. CONCLUSIONS: Electronically available patient comorbidities are important risk factors for HO-CDI and may improve risk-adjustment methodology.

Patient-to-Patient Transmission of Acinetobacter baumannii Gastrointestinal Colonization in the Intensive Care Unit.

Acinetobacter baumannii is an important nosocomial pathogen. The objective of this study was to determine the proportion of A. baumannii infections due to patient-to-patient transmission by analyzing the molecular epidemiology of patients who acquired A. baumannii, using perianal surveillance cultures in a large 2-year intensive care unit (ICU) population. The design was a prospective cohort study. Patients who were admitted to the medical and surgical intensive care units at the University of Maryland Medical Center from 2011 to 2013 underwent admission, weekly, and discharge perianal culture collection. Using multilocus sequence typing (MLST) with subsequent pulsed-field gel electrophoresis (PFGE) for increased discrimination, combined with hospital overlap, the number of patients that acquired A. baumannii due to patient-to-patient transmission was determined. Our cohort consisted of 3,452 patients. In total, 196 cohort patients were colonized with A. baumannii; 130 patients were positive at ICU admission, and 66 patients acquired A. baumannii during their stay. Among the 196 A. baumannii patient isolates, there were 91 unique MLST types. Among the 66 patients who acquired A. baumannii, 31 (50%) were considered genetically related by MLST and/or PFGE type, and 11 (17%) were considered patient-to-patient transmission by genetic relatedness and overlapping hospital stay. Our data show that, of those cases of A. baumannii acquisition, at least 17% were cases of patient-to-patient transmission.

Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

Importance: Hospital readmissions are associated with patient harm and expense. Ways to prevent hospital readmissions have focused on identifying patients at greatest risk using prediction scores. Objective: To identify the type of score that best predicts hospital readmissions. Design, Setting, and Participants: This prognostic study included 14 062 consecutive adult hospital patients with 16 649 discharges from a tertiary care center, suburban community hospital, and urban critical access hospital in Maryland from September 1, 2016, through December 31, 2016. Patients not included as eligible discharges by the Centers for Medicare & Medicaid Services or the Chesapeake Regional Information System for Our Patients were excluded. A machine learning rank score, the Baltimore score (B score) developed using a machine learning technique, for each individual hospital using data from the 2 years before September 1, 2016, was compared with standard readmission risk assessment scores to predict 30-day unplanned readmissions. Main Outcomes and Measures: The 30-day readmission rate evaluated using various readmission scores: B score, HOSPITAL score, modified LACE score, and Maxim/RightCare score. Results: Of the 10 732 patients (5605 [52.2%] male; mean [SD] age, 54.56 [22.42] years) deemed to be eligible for the study, 1422 were readmitted. The area under the receiver operating characteristic curve (AUROC) for individual rules was 0.63 (95% CI, 0.61-0.65) for the HOSPITAL score, which was significantly lower than the 0.66 for modified LACE score (95% CI, 0.64-0.68; P < .001). The B score machine learning score was significantly better than all other scores; 48 hours after admission, the AUROC of the B score was 0.72 (95% CI, 0.70-0.73), which increased to 0.78 (95% CI, 0.77-0.79) at discharge (all P < .001). At the hospital using Maxim/RightCare score, the AUROC was 0.63 (95% CI, 0.59-0.69) for HOSPITAL, 0.64 (95% CI, 0.61-0.68) for Maxim/RightCare, and 0.66 (95% CI, 0.62-0.69) for modified LACE score. The B score was 0.72 (95% CI, 0.69-0.75) 48 hours after admission and 0.81 (95% CI, 0.79-0.84) at discharge. In directly comparing the B score with the sensitivity at cutoff values for modified LACE, HOSPITAL, and Maxim/RightCare scores, the B score was able to identify the same number of readmitted patients while flagging 25.5% to 54.9% fewer patients. Conclusions and Relevance: Among 3 hospitals in different settings, an automated machine learning score better predicted readmissions than commonly used readmission scores. More efficiently targeting patients at higher risk of readmission may be the first step toward potentially preventing readmissions.

Hand hygiene before donning nonsterile gloves: Healthcareworkers' beliefs and practices.

BACKGROUND: Understanding the perceptions and beliefs of health care workers (HCWs) regarding glove use and associated hand hygiene (HH) may be informative and ultimately improve practice. Research in this area is limited. This study examined the practices and beliefs of HCWs surrounding the use of nonsterile gloves and HH before gloving. METHODS: The study was conducted at 3 large academic US hospitals using a parallel convergent mixed-method design. To estimate compliance rates, the gloving and HH practices of HCWs were observed at entry to patient rooms for 6 months. Interviews were conducted with 25 providers, nurses, and nursing assistants to investigate their beliefs and perceptions of these practices. RESULTS: Observed HH compliance rates before gloving were 42%, yet in the interviews most HCWs reported 100% compliance. Observed compliance with gloving before entering contact precaution rooms was 78%, although all HCWs reported always gloving for standard and contact precautions. Most HCWs described using gloves more often than necessary. HCWs generally use gloves for their own safety and sanitize hands before gloving for patient safety. Numerous barriers to compliance with HH before gloving were discussed, including beliefs that gloves provide enough protection. CONCLUSIONS: HH and glove use are highly intertwined in clinical practice and should be considered jointly in infection prevention improvement efforts.

Impact of a Prescriber-driven Antibiotic Time-out on Antibiotic Use in Hospitalized Patients.

A multicenter quasi-experimental study of a provider-driven antibiotic "time-out" in 3470 antibiotic courses showed no difference in antibiotic use before and after implementation, but did show a decrease in inappropriate therapy (45% vs 31%, P < .05). Single time-outs without input from antibiotic stewardship teams are insufficient to optimize prescribing.

Beyond entry and exit: Hand hygiene at the bedside.

BACKGROUND: We aimed to assess compliance, knowledge, and attitudes regarding the World Health Organization (WHO) 5 moments for hand hygiene (HH). METHODS: We assessed HH compliance from July-August 2016, using a modified WHO HH observation form. A 26-question survey was used to assess health care personnel (HCP) knowledge, opinions, and barriers to HH. A subgroup of HCPs participated in a 2-round focused survey to assign priority to the moments. RESULTS: Three hundred two HH opportunities were observed in 104 unique HCP-patient interactions. HH was performed at 106 (35%) opportunities, 37% (25 of 68) before touching a patient, 9% (6 of 70) before aseptic procedures, 5% (1 of 22) after body fluid exposure or risk, 63% (55 of 88) after touching a patient, and 35% (19 of 54) after touching patient surroundings. Two hundred eighteen HCPs completed the survey; 63 (29%) were familiar with the WHO 5 moments but only 13 (21%) were able to recall all 5 moments. In the focused surveys, 46% (6 of 13) ranked "before aseptic procedure" as the most important HH moment, and 86% (11 of 13) identified "after touching patient surroundings" as the least important. CONCLUSIONS: We found frequent opportunities for HH with infrequent compliance. Lack of recognition of opportunities at the bedside and frequent glove use may contribute to lower compliance.

Bacterial burden is associated with increased transmission to health care workers from patients colonized with vancomycin-resistant Enterococcus.

BACKGROUND: Health care workers (HCWs) are significant vectors for transmission of multidrug-resistant organisms among patients in intensive care units (ICUs). We studied ICU patients on contact precautions, colonized with vancomycin-resistant Enterococcus (VRE), to assess whether bacterial burden is associated with transmission to HCWs' gloves or gowns, a surrogate outcome for transmission to subsequent patients. METHODS: From this prospective cohort study, we analyzed 96 VRE-colonized ICU patients and 5 HCWs per patient. We obtained samples from patients' perianal area, skin, and stool to assess bacterial burden and cultured HCWs' gloves and gowns for VRE after patient care. RESULTS: Seventy-one of 479 (15%) HCW-patient interactions led to contamination of HCWs' gloves or gowns with VRE. HCW contamination was associated with VRE burden on the perianal swab (odds ratio [OR], 1.37; 95% confidence interval [CI], 1.19, 1.57), skin swabs (OR, 2.14; 95% CI, 1.51, 3.02), and in stool (OR, 1.95; 95% CI, 1.39, 2.72). Compared with colonization with Enterococcus faecalis, colonization with Enterococcus faecium was associated with higher bacterial burden and higher odds of transmission to HCWs. CONCLUSIONS: We show that ICU patients with higher bacterial burden are more likely to transmit VRE to HCWs. These findings have implications for VRE decolonization and other infection control interventions.

Comparing brief, covert, directly observed hand hygiene compliance monitoring to standard methods: A multicenter cohort study.

Hand hygiene compliance is subject to the Hawthorne effect, which may be attenuated by covert observers and brief observation periods. This study demonstrated that hand hygiene compliance rates were between 8% and 29% greater when reported by infection prevention programs than when reported by covert observers over brief observation periods.

Patient contact is the main risk factor for vancomycin-resistant Enterococcus contamination of healthcare workers' gloves and gowns in the intensive care unit.

OBJECTIVE: To determine which healthcare worker (HCW) roles and patient care activities are associated with acquisition of vancomycin-resistant Enterococcus (VRE) on HCW gloves or gowns after patient care, as a surrogate for transmission to other patients. DESIGN: Prospective cohort study. SETTING: Medical and surgical intensive care units at a tertiary-care academic institution.ParticipantsVRE-colonized patients on Contact Precautions and their HCWs. METHODS: Overall, 94 VRE-colonized patients and 469 HCW-patient interactions were observed. Research staff recorded patient care activities and cultured HCW gloves and gowns for VRE before doffing and exiting patient room. RESULTS: VRE were isolated from 71 of 469 HCWs' gloves or gowns (15%) following patient care. Occupational/physical therapists, patient care technicians, nurses, and physicians were more likely than environmental services workers and other HCWs to have contaminated gloves or gowns. Compared to touching the environment alone, the odds ratio (OR) for VRE contamination associated with touching both the patient (or objects in the immediate vicinity of the patient) and environment was 2.78 (95% confidence interval [CI], 0.99-0.77) and the OR associated with touching only the patient (or objects in the immediate vicinity) was 3.65 (95% CI, 1.17-11.41). Independent risk factors for transmission of VRE to HCWs were touching the patient's skin (OR, 2.18; 95% CI, 1.15-4.13) and transferring the patient into or out of bed (OR, 2.66; 95% CI, 1.15-6.43). CONCLUSION: Patient contact is a major risk factor for HCW contamination and subsequent transmission. Interventions should prioritize contact precautions and hand hygiene for HCWs whose activities involve touching the patient.

Pharmacodynamic Target Attainment for Cefepime, Meropenem, and Piperacillin-Tazobactam Using a Pharmacokinetic/Pharmacodynamic-Based Dosing Calculator in Critically Ill Patients.

This was a prospective study to determine if pharmacokinetic/pharmacodynamic (PK/PD)-based antibiotic dosing software aids in achieving concentration targets in critically ill patients receiving cefepime (n = 10), meropenem (n = 20), or piperacillin-tazobactam (n = 19). Antibiotic calculator doses targeting a >90% probability of target attainment (PTA) differed from package insert doses for 22.4% (11/49) of patients. Target attainment was achieved for 98% of patients (48/49). A PK/PD-based antibiotic dosing calculator provides beta-lactam doses with a high PTA in critically ill patients.